fanny.object             package:cluster             R Documentation

_F_u_z_z_y _A_n_a_l_y_s_i_s (_F_A_N_N_Y) _O_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     The objects of class '"fanny"' represent a fuzzy clustering of a
     dataset.

_V_a_l_u_e:

     A legitimate 'fanny' object is a list with the following
     components: 

membership: matrix containing the memberships for each pair consisting
          of an observation and a cluster. 

   coeff: Dunn's partition coefficient F(k) of the clustering, where k
          is the number of clusters. F(k) is the sum of all squared
          membership coefficients, divided by the number of
          observations.  Its value is always between 1/k and 1.

          The normalized form of the coefficient is also given. It is
          defined as (F(k) - 1/k) / (1 - 1/k), and ranges between 0 and
          1. A low value of Dunn's coefficient indicates a very fuzzy
          clustering, whereas a value close to 1 indicates a near-crisp
          clustering. 

clustering: the clustering vector of the nearest crisp clustering, see
          'partition.object'.

objective: the objective function and the number of iterations the
          'fanny' algorithm needed to reach this minimal value. 

    diss: an object of class '"dissimilarity"', see 'partition.object'.

    call: generating call, see 'partition.object'.

 silinfo: list with silhouette information of the nearest crisp
          clustering, see 'partition.object'.

    data: matrix, possibibly standardized, or NULL, see
          'partition.object'.

_G_E_N_E_R_A_T_I_O_N:

     These objects are returned from 'fanny'.

_M_E_T_H_O_D_S:

     The '"fanny"' class has methods for the following generic
     functions: 'print', 'summary'.

_I_N_H_E_R_I_T_A_N_C_E:

     The class '"fanny"' inherits from '"partition"'. Therefore, the
     generic functions 'plot' and 'clusplot' can be used on a 'fanny'
     object.

_S_e_e _A_l_s_o:

     'fanny', 'dissimilarity.object', 'partition.object',
     'plot.partition'.

